| Description |
1 online resource : illustrations |
|
text file |
| Physical Medium |
polychrome |
| Note |
Includes index. |
| Summary |
"With this book, you will learn not just about R, but how to use R to answer conceptual, scientific, and experimental questions. Beginning with an overview of fundamental R concepts, you'll learn how R can be used to achieve the most commonly needed scientific data analysis tasks: testing for statistically significant differences between groups and model relationships in data. You will delve into linear algebra and matrix operations with an emphasis not on the R syntax, but on how these operations can be used to address common computational or analytical needs. This book also covers the application of matrix operations for the purpose of finding structure in high-dimensional data using the principal component, exploratory factor, and confirmatory factor analysis in addition to structural equation modeling. You will also master methods for simulation and learn about an advanced analytical method."-- Provided by publisher. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
R (Computer program language)
|
|
R (Computer program language) |
|
Science -- Data processing.
|
|
Science -- Data processing. |
|
Open source software.
|
|
Open source software. |
| Genre/Form |
Electronic books.
|
|
Computer Science; Programming Languages; Computers.
|
| Added Author |
Johnson, Radia M., author.
|
| Cover Title |
Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| Other Form: |
Print version: Druck-Ausgabe Gerrard, Paul. Mastering Scientific Computing with R |
| ISBN |
1322882002 (electronic book) |
|
9781322882000 (electronic book) |
|
9781783555260 (electronic book) |
|
1783555262 (electronic book) |
|
9781783555253 |
|
1783555254 |
|
